IoT Based Predictive Maintenance In Manufacturing
The rise of Internet of Things (IoT) in industrial environments has made Predictive Maintenance (PdM) a cornerstone for achieving operation efficiency and equipment reliability. By transitioning from reactive to Condition-Based Maintenance (CBM) helps extend equipment lifespan by addressing faults before failure. It involves deploying multiple sensors on industrial equipment to monitor critical parameters such as temperature, vibration and transmitting the data to the cloud for predictive analysis using advanced Machine Learning (ML) models. Our primary goals are to reduce maintenance cost, improve operational efficiency and minimize unplanned downtime of industrial components. Additionally, it addresses challenges such as data security, sensor compatibility, and scalability to enhance processing efficiency. These advancements position IoT-PdM as a key enabler of Industry 4.0 smart manufacturing.
Authors
- Diwakar R. Marur
- S. Arulnithika
- PB. Taranalakshmi
Institutions
- SRM Institute of Science and Technology (IN)
Publication Details
- Published
- 2025-04-23
- DOI
- https://doi.org/10.1109/raeeucci63961.2025.11048329
- Citations
- 3
- Primary Topic
- Fault Detection and Control Systems
- Type
- article
- Field-Weighted Citation Impact
- 3.64